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[Agriculture] Food self-sufficiency ratio (calorie-based)
[Agriculture] Food self-sufficiency ratio (production value-based)
[Agriculture] Agriculture, forestry and fishing, value added per worker (constant 2015 US$)
[Agriculture] Agriculture, forestry, and fishing, value added (million US$)
[Agriculture] Agriculture, forestry, and fishing, value added (% of GDP)
[Agriculture] Employment in agriculture (% of total employment)
[Agriculture] Producer support estimates, as % of gross farm receipts
[Cereal, Starchy Roots, Sugar & Sweeteners] Cereals - Excluding Beer, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Wheat and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Rice and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Barley and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Maize and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Oat, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Millet and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Starchy Roots, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Potatoes and products, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sweet Potatoes, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar & Sweeteners, food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Sugar (Raw Equivalent), food supply quantity (kg/capita/year)
[Cereal, Starchy Roots, Sugar & Sweeteners] Honey, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Pulses, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Beans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Peas, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabeans, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Nuts and products, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnuts, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconuts - Incl Copra, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sesame seed, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olives (including preserved), food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Vegetable Oils, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Soyabean Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Groundnut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Sunflowerseed Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Rape and Mustard Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Palm Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Coconut Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Olive Oil, food supply quantity (kg/capita/year)
[Pulses, Nuts, Oilcrops, Vegetable Oils] Maize Germ Oil, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Vegetables, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Tomatoes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Onions, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Fruits - Excluding Wine, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Oranges, Mandarines, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Lemons, Limes and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapefruit and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Bananas, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Apples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pineapples and products, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Dates, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Grapes and products (excl wine), food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Spices, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pepper, food supply quantity (kg/capita/year)
[Vegetables, Fruits, Spices] Pimento, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Stimulants, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Coffee and products, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Tea (including mate), food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Alcoholic Beverages, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol)
[Stimulants, Alcoholic Beverages] % of those who often drink 4 or more alcoholic drinks on the same day
[Stimulants, Alcoholic Beverages] Wine, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Beer, food supply quantity (kg/capita/year)
[Stimulants, Alcoholic Beverages] Fermented beverages, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Bovine Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Mutton & Goat Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Average days of eating beef, lamb, or their products in a week
[Meat, Diary, Fish] % of those who do not eat beef, lamb, or their products
[Meat, Diary, Fish] % of those who eat beef, lamb, or their products every day
[Meat, Diary, Fish] Pigmeat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Poultry Meat, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Offals, Edible, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Butter, Ghee, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Animal Fats, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Eggs, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Milk (Excluding Butter), food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Fish, Seafood, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Freshwater Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Demersal Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Pelagic Fish, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Crustaceans, food supply quantity (kg/capita/year)
[Meat, Diary, Fish] Cephalopods, food supply quantity (kg/capita/year)
[Eating behaviors] % of those who eat fresh fruit or vegetables every day
[Eating behaviors] % of those who refuse to eat meat for moral or environmental reasons at least sometimes
[Eating behaviors] % of those who often try to buy fruits and vegetables grown without pesticides or chemicals
[Eating behaviors] % of people who take special food on their business trip
Period:
2020
Area:
World
\n
Major advanced countries
\n
Nordic and major advanced countries
\n
OECD members
\n
EU27
\n
EU+Japan
\n
Europe
\n
ASIA
\n
TPP
\n
Latin America
\n
Africa
\n
183 countries/ areas
Highlight:
(No highlight)
Japan
Nordic and Japan
----------
Afghanistan
Albania
Algeria
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia
Bosnia and Herzegovina
Botswana
Brazil
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Democratic Republic of Congo
Republic of Congo
Costa Rica
Cote dIvoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Estonia
Eswatini
Ethiopia
Fiji
Finland
France
French Polynesia
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hong Kong, China
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
North Korea
Republic of Korea
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Lithuania
Luxembourg
Macao, China
North Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia, Federated States of
Moldova
Mongolia
Montenegro
Morocco
Mozambique
Myanmar (Burma)
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Norway
Oman
Pakistan
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Romania
Russian Federation
Rwanda
St. Kitts and Nevis
St. Lucia
St. Vincent and the Grenadines
Samoa
Sao Tome and Principe
Senegal
Serbia
Seychelles
Sierra Leone
Slovakia
Slovenia
Solomon Islands
South Africa
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Sweden
Switzerland
Syrian Arab Republic
Taiwan
Tajikistan
Tanzania
Thailand
Timor-Leste
Togo
Trinidad and Tobago
Tunisia
Turkiye
Turkmenistan
Uganda
Ukraine
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Yemen
Zambia
Zimbabwe
1
Czech Republic
162.91
2
Ireland
151.52
3
Luxembourg
147.51
4
Austria
130.82
5
Germany
119.51
6
Romania
115.58
7
Poland
106.41
8
Spain
105.63
9
Portugal
104.34
10
Estonia
103.12
11
Croatia
101.28
12
Lithuania
100.33
13
Hungary
98.63
14
Iceland
98.31
15
Seychelles
98.29
16
Australia
96.87
17
Latvia
96.77
18
Belgium
93.64
19
Bosnia and Herzegovina
91.07
20
Namibia
90.13
21
Denmark
88.97
22
United States
87.66
23
Bulgaria
87.18
24
Switzerland
87.07
25
Finland
87.01
26
Eswatini
86.68
27
Gabon
85.95
28
Montenegro
85.16
29
Cameroon
83.39
30
Sweden
83.07
31
Slovenia
82.41
32
Belarus
81.77
33
Benin
81.37
34
United Kingdom
80.27
35
France
78.16
36
Italy
76.59
37
Canada
74.27
38
Netherlands
73.98
39
New Zealand
73.19
40
Paraguay
73.15
41
Burkina Faso
72.18
42
Norway
70.81
43
Russian Federation
70.59
44
Slovakia
70.46
45
Brazil
69.72
46
Republic of Korea
69.71
47
Chile
68.52
48
Mexico
68.36
49
French Polynesia
67.47
50
St. Lucia
67.19
51
Uganda
66.96
52
Antigua and Barbuda
66.90
53
Azerbaijan
63.76
54
Bhutan
62.30
55
Panama
62.21
56
New Caledonia
62.06
57
Serbia
61.25
58
Uruguay
60.58
59
Argentina
59.47
60
Dominican Republic
56.44
61
Cyprus
56.06
62
Republic of Congo
55.60
63
South Africa
53.76
64
Malta
52.92
65
Angola
52.33
66
Tanzania
51.79
67
Suriname
51.29
68
Botswana
50.24
69
Colombia
49.18
70
Ukraine
49.07
71
Trinidad and Tobago
46.62
72
Peru
46.33
73
Kazakhstan
45.50
74
Moldova
44.37
75
Viet Nam
44.36
76
Greece
44.32
77
Cape Verde
42.18
78
Mauritius
41.59
79
Belize
40.96
80
St. Vincent and the Grenadines
40.81
81
Cuba
40.43
82
North Macedonia
39.97
83
Mongolia
39.32
84
Barbados
38.99
85
Georgia
38.64
86
Thailand
38.10
87
Ecuador
37.89
88
Macao, China
36.96
89
Burundi
35.71
90
Bolivia
35.67
91
Taiwan
33.98
92
Guyana
33.88
93
China
33.50
94
Zambia
33.08
95
Japan
32.95
96
Albania
32.56
97
Cambodia
31.50
98
Grenada
31.29
99
Zimbabwe
29.61
100
Sao Tome and Principe
28.45
101
Jamaica
27.89
102
Hong Kong, China
27.66
103
St. Kitts and Nevis
25.57
104
Bahamas
25.51
105
Honduras
25.00
106
Lesotho
24.90
107
Mali
24.82
108
Costa Rica
24.65
109
Fiji
24.54
110
Guinea-Bissau
24.42
111
Rwanda
23.53
112
Israel
23.24
113
Dominica
22.45
114
Ghana
22.37
115
Ethiopia
21.28
116
Guatemala
20.64
117
Samoa
20.34
118
Philippines
20.01
119
Cote dIvoire
18.84
120
El Salvador
18.33
121
Bahrain
17.86
122
Tunisia
17.85
123
Malawi
16.80
124
Micronesia, Federated States of
16.20
125
Central African Republic
16.02
126
Nicaragua
14.97
127
Haiti
14.43
128
Kenya
13.71
129
Nigeria
13.05
130
Mozambique
12.41
131
Armenia
12.27
132
Turkiye
11.78
133
Laos
11.44
134
Gambia
10.99
135
Democratic Republic of Congo
10.79
136
Solomon Islands
10.38
137
Uzbekistan
10.23
138
Papua New Guinea
10.04
139
Togo
9.31
140
Liberia
9.13
141
North Korea
9.02
142
Malaysia
8.92
143
Turkmenistan
8.59
144
Kyrgyzstan
7.89
145
Venezuela
7.58
146
Kiribati
6.90
147
Madagascar
6.55
148
Maldives
6.15
149
Sri Lanka
5.95
150
Qatar
5.66
151
Nepal
5.35
152
Sierra Leone
5.04
153
Lebanon
4.75
154
Vanuatu
4.63
155
Tajikistan
4.42
156
Chad
4.38
157
Nauru
4.29
158
Algeria
3.99
159
Morocco
3.49
160
Oman
3.27
161
Myanmar (Burma)
2.96
162
South Sudan
2.70
163
Djibouti
2.65
164
Guinea
2.63
165
India
2.53
166
Senegal
2.48
167
Iraq
1.69
168
Comoros
1.00
169
Jordan
0.98
170
Timor-Leste
0.97
171
Egypt
0.88
172
Iran
0.86
173
Indonesia
0.84
174
Niger
0.72
175
Kuwait
0.48
176
Pakistan
0.21
176
Syrian Arab Republic
0.21
178
Libya
0.14
179
Sudan
0.06
180
Bangladesh
0.03
181
Afghanistan
0.02
181
Mauritania
0.02
183
Yemen
0.01
No data for 55 countries.
American Samoa/ Andorra/ Anguilla/ Aruba/ Bermuda/ British Virgin Islands/ Brunei Darussalam/ Cayman Islands/ Channel Islands/ Cook Islands/ Curacao/ Equatorial Guinea/ Eritrea/ Faeroe Islands/ Falkland Islands (Malvinas)/ French Guiana/ Gibraltar/ Greenland/ Guadeloupe/ Guam/ Guernsey/ Holy See (Vatican City)/ Jersey/ Kosovo/ Liechtenstein/ Man, Isle of/ Marshall Islands/ Martinique/ Mayotte/ Monaco/ Montserrat/ Netherlands Antilles/ Niue/ Northern Mariana Islands/ Palau/ Palestinian Territory/ Pitcairn/ Puerto Rico/ Reunion/ St. Helena/ St. Martin (French part)/ St. Pierre et Miquelon/ San Marino/ Saudi Arabia/ Singapore/ Sint Maarten (Dutch part)/ Somalia/ Tokelau/ Tonga/ Turks and Caicos Islands/ Tuvalu/ United Arab Emirates/ Virgin Islands/ Wallis and Futuna Islands/ Western Sahara
Source
Food and Agriculture Organization of the United Nations, 2020, Food Balance Sheet
Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data
138
Regression equation
Y = 0.017501 X +
4.692
Correlation coefficient (r)
0.572
Coefficient of determination (R2)
0.327
GDP per capita (current US$)
No. of data
176
Regression equation
Y = 342.763384 X +
1278.491
Correlation coefficient (r)
0.561
Coefficient of determination (R2)
0.315
Life expectancy at birth - Both sexes (years)
No. of data
182
Regression equation
Y = 0.093340 X +
67.330
Correlation coefficient (r)
0.443
Coefficient of determination (R2)
0.196
Fertility rate, total (births per woman)
No. of data
182
Regression equation
Y = -0.014747 X +
3.177
Correlation coefficient (r)
-0.428
Coefficient of determination (R2)
0.183
Suicide, age-standardized (per 100 000 population)
No. of data
175
Regression equation
Y = 0.024820 X +
9.072
Correlation coefficient (r)
0.103
Coefficient of determination (R2)
0.011